Harshitha Vemula

I’m a full stack Python engineer with 4+ years of experience building and shipping production web applications, backend APIs, and data pipelines across AWS and Azure. I focus on delivering ML-powered features end-to-end while keeping code quality high through testing and strong engineering defaults.

I’ve built and upheld end-to-end MLOps systems for predictive analytics, including customer churn prediction and a sentiment analysis engine, with advanced monitoring and ethical AI practices. I own the full path from large-scale data processing and model creation to real-time, containerized deployment and ongoing iteration.

I’ve also worked on GenAI foundations, including AWS Bedrock and GPT-class LLMs, plus RAG-style patterns like prompt design, context management, and output parsing. I’m comfortable operating with ambiguous requirements, integrating with third-party systems, and collaborating directly with stakeholders to turn messy inputs into reliable product experiences.

Across roles, I’ve engineered robust ingestion and transformation pipelines, built API layers (including Django REST Framework), and automated testing to ensure reliability and maintainability. I like measurable outcomes—like improving deployment speed, data availability, and reducing manual validation effort—while scaling solutions with Docker and Kubernetes.